code: def setUpClass(self):
      # runs once per test class
      iris_data = load_iris()
      self.X = iris_data["data"]
      self.y = iris_data["target"]
  
file_path: metric-learn/test/test_fit_transform.py
imports: import unittest
  import numpy
  from sklearn.datasets import load_iris
  from numpy.testing import assert_array_almost_equal
  from metric_learn import LMNN, NCA, LFDA, Covariance, MLKR, LSML_Supervised, ITML_Supervised, SDML_Supervised, RCA_Supervised, MMC_Supervised
label_desc: Use image node_id 1 for calling the TestFitTransform obj's underlying member method code with example usage: obj.setUpClass() without return types